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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

As Indian companies across industries increasingly embrace data-driven decision-making, artificial intelligence (AI), and automation, the demand for skilled data scientists continues to surge. Data Visualization: Ability to create intuitive visualizations using Matplotlib, Seaborn, Tableau, or Power BI to convey insights clearly.

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What is Data-driven vs AI-driven Practices?

Pickl AI

Summary: The article explores the differences between data driven and AI driven practices. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions.

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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs).

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A Comprehensive Guide to the main components of Big Data

Pickl AI

These frameworks facilitate the efficient processing of Big Data, enabling organisations to derive insights quickly.Some popular frameworks include: Apache Hadoop: An open-source framework that allows for distributed processing of large datasets across clusters of computers. It is known for its high fault tolerance and scalability.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

These frameworks facilitate the efficient processing of Big Data, enabling organisations to derive insights quickly.Some popular frameworks include: Apache Hadoop: An open-source framework that allows for distributed processing of large datasets across clusters of computers. It is known for its high fault tolerance and scalability.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. The post The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering appeared first on Pickl AI.

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Artificial Intelligence (AI) ersetzt. AI wiederum scheint spätestens mit ChatGPT 2022/2023 eine neue Euphorie-Phase erreicht zu haben, mit noch ungewissem Ausgang. Industrie 4.0). Process Mining).

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